Analytics

From raw spectra to biological insight.

Our analysis services range from single-molecule qualitative (bio)chemical analyses to in-depth analysis and integration of large -omics datasets. Each tier builds on the one before it.

Analysis tiers

Four levels of analysis, one consistent pipeline.

Choose the depth your project needs. Every tier is documented and reproducible, and comes with a walkthrough of the results with your team.

Tier 01

Organization & quality control

Raw output is organized, normalized and checked before any biology is interpreted.

Missing-value handling, normalization, batch and run-order assessment, and outlier detection.

You receiveQC report with clean, analysis-ready tables
Tier 02

Pairwise analysis

Which molecules change between conditions, by how much, and with what confidence.

Fold-change and significance testing with appropriate multiple-testing correction.

You receiveRanked differential lists and volcano plots
Tier 03

Multidimensional analysis

Patterns across many samples and conditions at once.

PCA, clustering, heatmaps, time-course and multi-group designs, plus classification where appropriate.

You receiveSample-level structure, clusters and candidate signatures
Tier 04

Network biology & integration

Placing your results in biological context.

Pathway and enrichment analysis, interaction networks, and integration with transcriptomic or clinical data.

You receivePathways, networks and an integrated biological story

Deliverables

Results you can understand, defend and reuse.

We don't send a spreadsheet and disappear. You receive a complete, documented package and a scientist to talk it through with.

  • Quality-control reportHow the data behaved, what was filtered and why.
  • Annotated results tablesIdentifications, quantities and statistics, ready for your own follow-up.
  • Publication-quality figuresVolcano plots, heatmaps, PCA, pathway and network figures in editable formats.
  • Methods and parametersWritten methods text and full processing parameters for reproducibility.
  • Bring your own dataAlready have MS data? We can analyze or re-analyze existing datasets.

Already have data waiting to be analyzed?

Send us a short description of your dataset and goals. We'll suggest the right analysis tier and timeline.